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@article{188785,
        author = {Dr. Ushadevi M B and Gowri R and Yashaskara T G and Vinay Kumara S and Srujan D},
        title = {AUTOMATED SHOPPING CART USING OPENCV},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {3433-3442},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188785},
        abstract = {This paper presents the design and implementation of an autonomous smart moving cart tailored for retail environments, utilizing the OpenCV algorithm for precise object detection, real-time updates, and secure navigation. The system architecture integrates key hardware components including a camera module, Arduino/Raspberry Pi microcontroller, RFID reader, LCD display, Wi-Fi module, ultrasonic sensors, and motor drivers to enable mobility and intelligent control. The smart cart leverages OpenCV to detect obstacles and track motion, ensuring smooth aisle navigation while minimizing collisions. The RFID reader facilitates product identification and inventory management, transmitting real-time updates to both the user and a centralized system via Wi-Fi. An LCD display provides a user-friendly interface, showcasing product details, cart status, and navigation cues. Ultrasonic sensors enhance navigational safety by enabling dynamic obstacle avoidance. This real-time data processing capability allows the cart to adapt to its environment, reducing human error and improving the overall shopping experience. By integrating advanced technologies and real-time communication, the proposed system streamlines retail operations and delivers a seamless, efficient shopping experience.},
        keywords = {Autonomous Cart, OpenCV, RFID, Raspberry Pi, Retail Automation, Real-Time Navigation, Ultrasonic Sensors, Smart Shopping},
        month = {December},
        }